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ruanyf engagement report

@ruanyf - 209K followers on X

Measured over 1 original post from a 30-day window, last computed on October 6, 2026.

Engagement

Per follower
0.524%
of 209K followers
Per impression
0.74%
148K views on a typical post
Reach
70.8%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.172%
254 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
01:00 UTC
Friday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 1.1K interactions against 209K followers, an engagement rate of 0.524%. Posts are seen about 148K times each, and 0.74% of those impressions turn into an interaction. That is about 70.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 4.3K interactions, about 3.9x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 6, 2026.

Where this sits in the catalog

At 0.524%, ruanyf sits above the 50th percentile of the 156,839 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 01:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 159 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jun 26, 20263.9x their median

    SQLite 数据库的作者 Richard Hipp 解释,为什么他的项目一律不接受外部的 PR。 PR 不是免费的。你实际上是对我提要求:你开发了这个很棒的功能,然后希望我帮你维护它、帮你编写文档、帮你测试,并在接下来的二十五年里一直为你维护它。 Linus 曾说过一句名言:Free 既可以指免费啤酒,也可以指言论自由。但还有另一种 Free:免费的小狗。“瞧,我这儿有只免费的小狗送给你。” 你明白我的意思了吧? 提交一个 pull request 就相当于有人送你一只小狗。一天下来,你的小屋里就多了一只小狗。你不能把它扔掉——你有道义上的责任照顾它,直到它自然死亡。 我可不要任何免费的小狗。https://t.co/kD8Kri3V9K

    3.7K46912437296K viewsView on X
  • Mar 5, 20262.2x their median

    自从大模型出现,似乎就没人提“知识付费”了。

    2.0K6732234777K viewsView on X
  • Mar 3, 2026

    有人收集了所有暴露到公网的 OpenClaw 实例,看看有没有你的。https://t.co/gWZ92rkXAR 这个软件使用你的个人密钥,权限极大,全自主运行,而且几十万行代码也没审核过,使用者只能自求多福了。 https://t.co/tuksiTTWhj

    9161437037263K viewsView on X
  • Sep 18, 2026

    上周,Shopify 宣布放弃 React Native,改用 Swift 和 Kotlin 开发移动版。 背后的原因是,AI 可以翻译语言,那为何不直接用性能好的原生语言,跳过中间层。 有了 AI,像 React Native 这种中间语言或者翻译层,就被判死刑了。https://t.co/nuSQ0cLEJS

    6703936915148K viewsView on X
  • May 31, 2026

    智谱的市值已经等于小米了,相当于两个多的京东。它的模型都是开源的,因此是世界市值最高的开源软件公司了。

    476231526199K viewsView on X
  • Jan 30, 2026

    著名程序员 Steve Yegge 本月发布了一个 AI 软件“煤气镇”(Gas Town),还写了一篇长文。 他说 AI 编程分为8级(下图),自己已经是第8级了,没有合适的 AI 管理软件,所以才有了“煤气镇”。 我觉得,这个8级分类很有意思,就把它翻译出来了。大家可以看看,自己属于哪一级。https://t.co/z8tDiZmBkA https://t.co/JSbo01bUJK

    5347819596K viewsView on X
  • Feb 15, 2026

    你还在花钱用国产大模型吗? 有一种方法可以免费使用,就是通过字节的 AI 编码工具 TRAE(国内版)。 下图所有模型都是免费使用。 我写了一篇教程《字节全家桶 Seed 2.0 + TRAE 玩转 Skill》,展示这个方案的潜力。想要学习 Skill 的同学,也可以看看。https://t.co/1PRQ3sWMUf https://t.co/3TPev773kI

    4999627374K viewsView on X
  • May 29, 2026

    问问大家,你是用 Codex 还是 Claude Code?我看很多人最近跳船,选择 Codex,评价还不错。 Codex 官方套餐最低20美元/月,现在有个试用机会,只要9.9元人民币(相当于150美元的 API 月度使用量)。 我朋友公司开发的路由平台,一家国内的大型云服务商。由于合规原因,没法用自己的名义,就注册境外子品牌来提供 GPT 5.5 和 GPT 5.4 API。https://t.co/LDpco7yp2X 服务很正规,缓存命中高,所以价格低。需要注意,他们提供的 API 端点,国内无法直连,如果需要直连,在 Discord 联系客服。

    408451567180K viewsView on X
  • Mar 13, 2026

    两周前,一个 Cloudflare 工程师用 AI 重新实现了 Next.js,Token 费用是1100美元。 我觉得,这件事情对Next.js的打击非常大。 代码的护城河不存在了,只要投入一小笔金钱,AI 就能复刻出大型软件。 防止复刻的关键是测试用例,我写了一点看法《测试是新的护城河》。https://t.co/8xZ22MzTFV https://t.co/UTJn9hfuHH

    434586120147K viewsView on X
  • May 16, 2026

    如果互联网彻底中断,有没有替代方案? 完全的替代可能找不到,但是使用 LoRa 协议,可以自己组建一个通信网,实现多人群聊功能,信号覆盖整个城区。 每个人的设备成本只需几百元人民币,这应该是目前最便宜、最简单的个人通信网。https://t.co/d2Y9Lh55J7 https://t.co/MGQGW9OvxY

    4193574599K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 1.1K interactions against 209K followers, an engagement rate of 0.524%. Posts are seen about 148K times each, and 0.74% of those impressions turn into an interaction. That is about 70.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 4.3K interactions, about 3.9x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is ruanyf's engagement rate on X?
ruanyf (@ruanyf) has an engagement rate of 0.524%, based on the median interactions across 1 original posts from the last 30 days against 208,750 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.524%, ruanyf sits above the 50th percentile of the 156,839 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @ruanyf have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ruanyf post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 0.03 posts per day across the measured window.

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